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Simulating Turn-Based Rpg Using System Dynamics As a Balancing Tool: Automating Play Testing

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Simulating Turn-Based Rpg Using System Dynamics As a Balancing Tool: Automating Play Testing SIMULATING TURN-BASED RPG USING SYSTEM DYNAMICS AS A BALANCING TOOL: AUTOMATING PLAY TESTING 1ERVINA WIJAYA, 2ARYA ANTAPUTRA, 3YUSUF ISLAM Human Computer Interaction Surya University Tangerang, Indonesia E-mail: [email protected] Abstract- Designing game balancing by game designers are tedious work where they need to design the statistics using spreadsheet, and playtest them manually in many iterations. Finished balancing will be the best state of the game to deliver as intended by its game designer. In order to reach the said state, game designer must spend a good deal of time doing playtesting. Therefore, this paper proposes a game balancing tool which functions to automate playtesting by simulating model of battle RPG using utilized system dynamics. The purpose is to help game designer cuts playtesting time to collect insights on how their current balancing works. This paper explores the possibility of creating and using system dynamics to model RPG, especially battles, to be used as game balancing tool to help building strategies in design direction. Keywords- playtesting, simulation, system dynamics model, turn-based RPG, game balancing tool I. INTRODUCTION is one of the oldest genre of game, examples of RPGs are Chrono Trigger, Final Fantasy, Pokemon, etc. The Role playing games (RPG) incorporates various key elements of RPGs are where the player as main numbers inside their game mechanics. The character who is either a hero or a pokemon trainer, relationships between players and enemies are going on an adventure to complete quests. During the connected by battle mechanism. As game designers adventure, player will be faced by enemies and need to design balancing to those numbers to make battles where player needs to beat the enemies before every game from scratch. Ideally, a game is getting beaten, win the battle, and then gradually get considered balanced when it does drive most of target experience points to gain more levels as they progress players to quit before the game reaches its final. The through the game. The relationship between core aim of game design is to create a fun experience points needed each level is called entertainment/game for players [1]. progression relationship. The other is tradeoff The complexity of considering how the numbers relationship where number of certain item is traded affect each other often hinders game development. with another item. The simple example is trading Currently there exist several enemy/monster statistics gold with potion items. These progression and generators to help the designing, but they have tradeoff relationships affect on how balanced a game limitations. Once being merged into a whole game, is when player is interacting with game components playtesting session is still needed to test the balancing. [4]. A research about game balancing tool found several feature requirements by asking game designers. One The basic numbers that are part of most RPGs are: (a) of them was the ability to do live-edit playtesting that level, (b) exp (experience point), (c) attack, (d) concerned to avoid time wasting by stopping and defend, (e) randomness. The relationships between editing back and forth [2]. two number elements can be represented as curve. There are several types of curve: identity, linear, In the other hand, there is a method that is used to exponential, logarithmic, triangular, or even custom model, simulate, analyze complex real-world systems crafted curves. called system dynamics [3]. As game is also being able to be perceived as a system, this paper’s objective B. Randomness is to fill the gap by using system dynamics as the Random is needed in not only RPG, but most game in backbone and the demand of playtesting automation. order to create a realistic point of view. For example, This research starts with literature review of RPG in reality during a battle, damage produced by a balancing includingnumerical relationship, character cannot be always constant; even robots don’t progression, and system dynamics. Then, continuing produce 100% same output all time. Constant conceptualization of simulation model, which finally relationships will make the game feels static and the simulation will be run based on a scenario in everything becomes predictable; which will become imaginary case study. boring for players. That is why game designers like to implement randomness in their game, but in such a II. LITERATURE REVIEW way to avoid wild randomness. A. Numerical Relationships Several ways to implement randomness in calculation Game is consisted of numbers and mechanic that is by using dice roll or using normal/uniform governs how each number relates to the others. RPG distribution. When designing randomness in game, Proceedings of 117th IASTEM International Conference, Jakarta, Indonesia, 30th-31st May 2018 45 Simulating Turn-Based RPG Using System Dynamics as a Balancing Tool: Automating Play Testing designer needs to understand the probabilities of III. METHODOLOGY winning and losing the game [5]. A. Case Study C. Enemy Random Encounter v.s. StaticEncounter The case study used to design this tool is using a Single player RPGs usually need bot monsters called scenario of persona of a game designer for RPG who mob to fight in forest/dungeon to help gain level, usually works on games using RPG Maker. unlike multiplayer RPGs. Currently, there are two At early game development, a game designer wants to possibilities of designing enemy encounter type for a design her RPG to have this difficulty of having 2-3 game [6]: turn to take out enemy at first forest, then raised until 1. Random encounter: when player is walking 5-7 turn for entering new dungeon of more powerful through a dungeon, they will encounter enemy. As player travels through dungeon and invisible enemy which are spawned by gaining more level, when they are out of dungeon counting how many steps are taken. (after beating 20 enemies), player can re-enter 2. Static encounter: Another one usually this dungeon and fight with same set of monsters which type of encounter consists of visible enemies will be faster; decreasing turn count to 3-5. where player can see the enemy position in the Game designer looks for feedback data of whether the map. Battle will be engaged when player enemies are balanced enough for player in each state touches the enemy, while also able to walk past battle to make further amendments for enemies’ the enemy by avoiding contact. This method statistics to reach the balancing she wants. will require designer to position enemy over the map. B. System Dynamics System dynamics is a methodology to analyze D. RPG Maker structure and how a system behaves developed by RPG Maker is game engine specific for RPG MIT [8]. By dividing a system into variables and development. RPG Maker currently has several series model their relationships, the audience will be able to for witch the popular versions now are RPG Maker understand the behavior of certain variables. VX, RPG Maker VX Ace, and RPG Maker MV. RPG Relationships are modelled by using mathematical Maker has created hundreds of games; both traditional equation involving related variables by analyzing the RPG and nontraditional such as visual novel horror referenced system itself. RPG genre [7]. System dynamics models’ purposes is to: (a) teach RPG Maker has features which are designed audience how a system works and learning its specifically toward the ease of RPG development, and behaviors, (b) creating a predictive simulation to test that makes it a good source to reflect on how RPG out policy makings. System dynamics could be structures are usually and generally built. represented as qualitative and quantitative modeling. RPG Maker implements elements of RPG into: Qualitative modeling takes form of causal loop 1. Maps: filled with items, NPCs, and enemies diagram, while quantitative modeling uses stock-flow in a specific position in a space. diagram [9]. During development, it is 2. Actors: actors are basically playable recommended to use stock-flow diagram in the characters. They have statistic template formulation stage [8]. consisted of 9 elements: EXP curve, Max HP, System dynamics is used to model RPG battle Max MP, Attack, Defend, M.Attack, simulation in this paper because game is also a system M.Defend, Agility, and Luck. These elements that has related variables. are saved as element-to-level curve, which there’s a feature to generate the curve based IV. IMPLEMENTATION AND on growth speed. EXPERIMENTATION 3. Enemies: a database of enemy troops. Each enemy also has 9 elements actors have, in After literature studies to understand balancing in addition to EXP Drop and behaviors. These RPG, developing the system dynamics model was behaviors represent enemy’s actions and its divided into 4 stages. There was also studies on how a probability to act. turn-based RPG is usually made in order to create a 4. Items:a database of items accessible during balancing tool that could work with wide variety of battle. Items includes potions, having amount turn-based RPG. The studies and observations of restoration point. collected will help designing game rules and 5. Skills: a database of skills, including physical elements’ relationship. Followed stage is developing attack. RPG maker uses a default damage the system dynamics model using framework formula: consisted of: (a) problem identification (b) conceptualization (c) formulation (d) testing. All stages are done in chronological order using iteration (1)develo pment process. Each iteration’s feedbacks were Proceedings of 117th IASTEM International Conference, Jakarta, Indonesia, 30th-31st May 2018 46 Simulating Turn-Based RPG Using System Dynamics as a Balancing Tool: Automating Play Testing used to improve the model in the next iteration. Few conceptualization points will be explained in model’s discussion. A. System Dynamics Model 1) Model Framework System dynamics model was developed using stock and flow diagram developed using Vensim PLE by Ventana Software.
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